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--- |
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license: other |
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base_model: meta-llama/Meta-Llama-3-8B |
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library_name: transformers |
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tags: |
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- 4-bit |
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- AWQ |
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- text-generation |
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- autotrain_compatible |
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- endpoints_compatible |
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- generated_from_trainer |
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pipeline_tag: text-generation |
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inference: false |
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quantized_by: Suparious |
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datasets: |
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- cognitivecomputations/Dolphin-2.9 |
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- teknium/OpenHermes-2.5 |
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- m-a-p/CodeFeedback-Filtered-Instruction |
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- cognitivecomputations/dolphin-coder |
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- cognitivecomputations/samantha-data |
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- HuggingFaceH4/ultrachat_200k |
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- microsoft/orca-math-word-problems-200k |
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- abacusai/SystemChat-1.1 |
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- Locutusque/function-calling-chatml |
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- internlm/Agent-FLAN |
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--- |
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# cognitivecomputations/dolphin-2.9-llama3-8b AWQ |
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Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations |
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Discord: https://discord.gg/8fbBeC7ZGx |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" /> |
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My appreciation for the sponsors of Dolphin 2.9: |
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- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 10xL40S node |
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This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE) |
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The base model has 8k context, and the full-weight fine-tuning was with 4k sequence length. |
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It took 2.5 days on 8x L40S provided by Crusoe Cloud |
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This model was trained FFT on all parameters, using ChatML prompt template format. |
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example: |
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``` |
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<|im_start|>system |
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You are Dolphin, a helpful AI assistant.<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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